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Closest matches
- DeepSeek V4 Flash (deepseek-v4-flash)
284B MoE / 13B active. Apache 2.0, 1M context. Among the cheapest frontier-adjacent models: $0.10 input, $0.20 output per 1M tokens.
- Llama 5 (meta-llama-5)
Meta's June 30 2026 return to the frontier and the first Llama to compete with the proprietary top tier on general reasoning. Open weights u
- Llama 4 Maverick (meta-llama-4-maverick)
Meta's mixture-of-experts model with 17B active parameters and 128 experts. Strong multimodal and multilingual performance.
- Llama 4 Scout (meta-llama-4-scout)
Meta's efficient MoE model with 16 experts. 10M token context window and strong multilingual support.
- DeepSeek R1 (deepseek-r1)
DeepSeek's reasoning model. Competitive with o3 on math and coding at a fraction of the cost.